Gewerkton is entering beta with a voice-first platform designed to turn activity on construction sites into structured evidence, reports and coordinated project data. The product combines construction documentation and defect management with plan, model and operations tools under one brand. It is in beta now, with a public beta planned for fall 2026.
Tech News · Product Beta
Gewerkton turns site voices into structured evidence
A German-born, globally designed construction platform connects spoken field input with defects, reports, plans, models and project operations.
Release path
One platform · three connected product lines
01 Field
Voice-first site capture for evidence, defects, daywork reports, takt and portal workflows.
02 Studio
Browser work with plans and models—including creating a model when none exists.
03 Cloud
Operations and model or data coordination across Field, Studio and third parties.
Multinational scope
Teams can capture and report in their own languages while retaining the original evidence behind the record.
Bring your own AI
Customers bring their own keys and choose regional processing and data-residency options.
German depth
The global operating layer sits on four market-specific commercial integrations.
Built by a solo founder and coding agents
“On site, what counts is what’s proven.”
Born in the German market but built for global use, Gewerkton pairs German commercial integrations with support for 27 content languages and a choice of regional AI providers. Its German integrations cover GAEB, REB, XRechnung and DATEV. For teams working across borders, the platform can use AI providers in the EU, US and Asia, including mainland China.
The proposition begins with a familiar construction problem: important information is often created in motion. Work is inspected, defects are identified, instructions are given and decisions are made while teams are spread across a site. Gewerkton puts voice at the front of that process, connecting spoken input with evidence, defects, daywork reports and other project records.
voice-activated construction site documentation device
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One platform, three connected product lines
Gewerkton is organised into three product lines: Field, Studio and Cloud. Together, they cover site capture, browser-based work with plans and models, and coordination between the platform and third-party systems.
Gewerkton Field is the voice-first construction site app. It turns dictation into evidence, defects and daywork reports, while also supporting takt and portal workflows. The focus is the point at which information is created: on site, during inspections, meetings, handovers and day-to-day work.
Gewerkton Studio is the browser workspace for plans and models. It also addresses projects where no model exists: in that case, the site team can create one directly in the browser. This gives teams a visual workspace without making an existing model a prerequisite.
Gewerkton Cloud handles operations and model or data coordination between Field, Studio and third parties. Its role is to connect information captured on site with the wider project environment rather than leave it isolated inside a mobile workflow.
These capabilities are currently beta software. The company’s next stated milestone is the public beta planned for fall 2026, so the launch should be read as an early product-stage entry rather than a finished general release.
Designed around evidence from the site
Gewerkton’s marketing line is: “On site, what counts is what’s proven.” That statement reflects the platform’s emphasis on retaining evidence alongside the information produced from it. Voice input is intended to become structured project material, while original audio can remain available to support instructions and records.
The approach has applications across several types of construction. In wind farms and renewable-energy projects, sites can be distributed, crews can rotate and field acceptance can take place far from reliable connectivity. Gewerkton is designed for offline capture in dead zones, allowing site information to be recorded where the work occurs.
Data-centre and industrial-plant projects bring a different coordination problem. Many trades can operate in parallel under tight deadlines. In that setting, decisions made during meetings can become trade-sorted task lists, giving the spoken outcome a route into the work that follows.
For housing and building construction, the platform covers defects recorded with a photo and deadline, dictated daywork reports, and signatures on the device during handover. These are practical site processes in which voice capture can reduce the distance between observing something and documenting it.
Infrastructure and tunnel projects can run for long periods and involve many change orders. Gewerkton supports instructions backed by the original audio, preserving the source material behind the resulting record. The same evidence-led principle carries across the platform’s construction documentation and defect management functions.
Multilingual work without a single AI dependency
Cross-border projects are a central part of the platform’s scope. Gewerkton supports 27 content languages, allowing teams in the EU, US and APAC to work on the same project in their own languages while the evidence original remains unambiguous.
That language coverage also extends to projects in Asia. Chinese, Korean and Vietnamese crews can work with multilingual capture through to the resulting report. Data residency can be selected separately, giving projects a choice over where their information is handled.
The platform’s BYO-AI model supports 13 AI providers. Customers bring their own keys and select a region from EU, US or Asia, including mainland China. The stated aim is to avoid vendor lock-in while allowing the AI layer to reflect regional requirements and project choices.
Data residency follows a similarly open approach: users can choose an EU cloud or their own infrastructure. Combined with bring-your-own keys and regional provider selection, that gives projects control over both the AI service and the underlying deployment location.
German commercial depth, global operating scope
Although Gewerkton is positioned for global markets, its starting point in Germany remains visible in its commercial integrations. GAEB, REB, XRechnung and DATEV provide the platform’s deepest market-specific integration. The global layer is then built around multilingual content, region-selectable AI and deployment choices.
This combination is particularly relevant for projects whose operating footprint crosses national and language boundaries. A project can involve crews from different regions, use separate languages during capture and reporting, and still retain the original evidence behind the record. Regional AI-provider choice and selectable data residency are designed to keep those decisions from being dictated by a single vendor.
A solo founder and a fleet of coding agents
The way the platform is being built is also unusual. Gewerkton has a solo founder directing a fleet of coding agents using Codex and Claude. In one night, that fleet shipped 21 software packages. The work was verified with negative controls and mutation tests, bringing explicit testing into a development model centred on agent-directed output.
That development story does not change the product’s current status: Gewerkton remains in beta, and its public beta is planned for fall 2026. It does, however, show the scale at which the founder is using coding agents to assemble and test the software behind the three connected product lines.
A tracker-free public presence
Gewerkton has applied its regional and privacy choices to its marketing site as well. The site is available in 27 languages and runs with zero trackers. It has no cookie banner and uses a fully egress-free architecture.
The company has also assembled a media bank containing more than 51 self-produced clips and posters. That material supports the presentation of the platform across its markets and language variants without changing the central product message.
What is available in beta
The beta brings together the voice-first site app, the browser workspace and the coordination layer. Its stated capabilities include:
- Voice-led capture for evidence, defects and dictated daywork reports.
- Takt and portal functions within Field.
- Plan and model work in the browser through Studio.
- Browser-based model creation when a project has no existing model.
- Operations and model or data coordination across Field, Studio and third parties through Cloud.
- Support for 27 content languages across multinational teams.
- A choice of 13 AI providers using bring-your-own keys.
- Regional AI selection covering the EU, US and Asia, including mainland China.
- Data residency through an EU cloud or deployment on the user’s own infrastructure.
The range is broad, spanning site evidence, documentation and defect management, models, reports and operational coordination. But the distinction between the current beta and the planned public beta matters. Gewerkton is presenting the product now while setting fall 2026 as the point when public beta access is planned.
For construction teams, the core idea is straightforward: capture information where it originates, retain the evidence behind it and make the result usable across trades, models, reports and regions. Gewerkton is bringing that approach into beta through Field, Studio and Cloud, with German commercial integrations at its base and multilingual, region-selectable infrastructure aimed at projects worldwide.
